基于阅读漫画时的眼动来预测人格特征
1Graduate School of Information Sciences, Tohoku University, Sendai, Japan.
Frontiers in psychology
|April 15, 2025
概括
漫画阅读期间的眼睛运动可以预测外向,这是一个关键的人格特征. 这项研究探讨了人格检测的目光行为,发现固定率和瞳孔反应信息.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 人与计算机的交互
背景情况:
- 机器学习模型可以从现实世界的眼动数据中预测个人特征.
- 之前的研究分析了校园导航和社交媒体浏览期间的目光.
研究的目的:
- 调查漫画阅读期间的眼动是否可以预测人格特征.
- 将以前的发现扩展到一种新型的视觉参与:阅读日本漫画 (漫画).
主要方法:
- 记录了51名参与者阅读漫画的眼动.
- 训练有素的机器学习分类器从眼动特征预测大五个人的性格特征.
- 使用了SHapley添加式扩展 (SHAP) 来进行模型解释.
主要成果:
- 在五大特征中,只有外向是可以预测的.
- 最好的模型获得了0.49的宏观F1得分,与之前的研究相比.
- 高固定率,瞳孔反应和眼率被确定为关键预测特征.
结论:
- 漫画阅读期间的目光行为部分复制了眼睛运动和个性之间的关联.
- 漫画阅读提供了有信息的凝视数据,用于检测个人的外向.
- 他们强调了使用漫画用于基于视线的性格检测的潜在优势.
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